Plot candlestick chart with indicators

[julian-dotcom]

Hi!
I am wondering if it is possible to plot an OHLCV chart including the indicators computed. I am trying to visualize and Volume-Weighted Average Price strategy with upper/lower bands like so:

df['vwap'] = vwap.volume_weighted_average_price
df['vwap_upper'] = df['vwap'] + talib.STDDEV(df['vwap'], timeperiod=window)
df['vwap_lower'] = df['vwap'] - talib.STDDEV(df['vwap'], timeperiod=window)

df['vwap_upper2'] = df['vwap'] + (2 * talib.STDDEV(df['vwap'], timeperiod=window))
df['vwap_lower2'] = df['vwap'] - (2 * talib.STDDEV(df['vwap'], timeperiod=window))

The chart should look something like this

:

[polakowo]

Every plotting function returns a figure, which you can provide to another plotting function (similar to matplotlib). On how to set up individual traces please refer to the Plotly documentation.

fig = ohlcv_df.vbt.ohlcv.plot()
df['vwap'].vbt.plot(fig=fig, trace_kwargs=dict(line_color='blue'))
df['vwap_upper'].vbt.plot(fig=fig, trace_kwargs=dict(line_color='green'))
# etc.
fig.show()